The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Laboratory diagnosis of emerging human coronavirus infections – the state of the art
Open accessAbstract
The three unprecedented outbreaks of emerging human coronavirus (HCoV) infections at the beginning of the twenty-first century have highlighted the necessity for readily available, accurate and fast diagnostic testing methods. The laboratory diagnostic methods for human coronavirus infections have evolved substantially, with the development of novel assays as well as the availability of updated tests for emerging ones. Newer laboratory methods are fast, highly sensitive and specific, and are gradually replacing the conventional gold standards. This presentation reviews the current laboratory methods available for testing coronaviruses by focusing on the coronavirus disease 2019 (COVID-19) outbreak going on in Wuhan. Viral pneumonias typically do not result in the production of purulent sputum. Thus, a nasopharyngeal swab is usually the collection method used to obtain a specimen for testing. Nasopharyngeal specimens may miss some infections; a deeper specimen may need to be obtained by bronchoscopy. Alternatively, repeated testing can be used because over time, the likelihood of the SARS-CoV-2 being present in the nasopharynx increases. Several integrated, random-access, point-of-care molecular devices are currently under development for fast and accurate diagnosis of SARS-CoV-2 infections. These assays are simple, fast and safe and can be used in the local hospitals and clinics bearing the burden of identifying and treating patients.
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Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
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Xu, X., Jiang, X., Ma, C., Du, P., Li, X., Lv, S., Yu, L., Ni, Q., Chen, Y., Su, J., et al. (2020) · Engineering · doi:10.1016/j.eng.2020.04.010 · Cited by 1,209
Pasomsub, E., Watcharananan, S. P., Boonyawat, K., Janchompoo, P., Wongtabtim, G., Suksuwan, W., Sungkanuparph, S., & Phuphuakrat, A. (2021) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2020.05.001 · Cited by 380
COVID-19 diagnosis by routine blood tests using machine learning
Kukar, M., Gunčar, G., Vovko, T., Podnar, S., Černelč, P., Brvar, M., Zalaznik, M., Notar, M., Moškon, S., & Notar, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-90265-9 · Cited by 179
A Critical Appraisal of COVID-19 in Malaysia and Beyond
Editorial Board Member, M. J. O. M. S., Abdullah, J. M., Brain Behaviour Cluster and Department of Neurosciences, S. O. M. S., Wan Ismail, W. F. N., Editorial Board Member, M. J. O. M. S., Department of Orthopaedics, S. O. M. S., Mohamad, I., Editorial Board Member, M. J. O. M. S., Department of Otorhinolaryngology-Head & Neck Surgery, S. O. M. S., Ab Razak, A., et al. (2020) · Malaysian Journal of Medical Sciences · doi:10.21315/mjms2020.27.2.1 · Cited by 69
Metadata
- Authors
- Loeffelholz, M. J., & Tang, Y.-W.
- Venue
- Emerging Microbes & Infections
- Publisher
- Informa UK Limited
- Published
- 2020-01
- Volume
- 9
- Issue
- 1
- Pages
- 747-756
- ISSN
- 2222-1751 (ISSN-L)
- OpenAlex
- W3011420630
- Cited by
- 788
- References
- 6
- FWCI
- 21.70
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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